research
∙
06/28/2021
Systematic evaluation of variability detection methods for eROSITA
The reliability of detecting source variability in sparsely and irregula...
share
research
∙
09/07/2020
Data-Driven Transferred Energy Management Strategy for Hybrid Electric Vehicles via Deep Reinforcement Learning
Real-time applications of energy management strategies (EMSs) in hybrid ...
research
∙
09/07/2020
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles
Knowledge transfer is a promising concept to achieve real-time decision-...
research
∙
08/26/2020
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
Decision-making strategy for autonomous vehicles de-scribes a sequence o...
research
∙
08/14/2020
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning
Decision-making module enables autonomous vehicles to reach appropriate ...
research
∙
08/04/2020
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles
Deep reinforcement learning (DRL) is becoming a prevalent and powerful m...
research
∙
07/26/2020
Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving
Parallel driving is a novel framework to synthesize vehicle intelligence...
research
∙
07/24/2020
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning
This article proposes a transfer reinforcement learning (RL) based adapt...
research
∙
07/21/2020
Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
Digital quadruplets aiming to improve road safety, traffic efficiency, a...
research
∙
07/16/2020
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
Autonomous driving is a promising technology to reduce traffic accidents...
research
∙
07/16/2020
Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle
This paper proposes an adaptive energy management strategy for hybrid el...
research
∙
07/16/2020
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment
As a typical vehicle-cyber-physical-system (V-CPS), connected automated ...
research
∙
07/16/2020
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles
As a combination of various kinds of technologies, autonomous vehicles c...
research
∙
07/16/2020
Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences
Development of hybrid electric vehicles depends on an advanced and effic...
research
∙
07/16/2020
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study
This work optimizes the highway decision making strategy of autonomous v...
research
∙
07/16/2020